chain-of-thought-prompts
Chain-of-thought and step-by-step reasoning prompts for complex problem solving
Best use case
chain-of-thought-prompts is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Chain-of-thought and step-by-step reasoning prompts for complex problem solving
Teams using chain-of-thought-prompts should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/chain-of-thought-prompts/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How chain-of-thought-prompts Compares
| Feature / Agent | chain-of-thought-prompts | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Chain-of-thought and step-by-step reasoning prompts for complex problem solving
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# Chain-of-Thought Prompts Skill ## Capabilities - Design chain-of-thought prompting patterns - Implement step-by-step reasoning templates - Create self-consistency prompting - Design tree-of-thought patterns - Implement reasoning verification - Create structured reasoning outputs ## Target Processes - prompt-engineering-workflow - self-reflection-agent ## Implementation Details ### CoT Patterns 1. **Zero-Shot CoT**: "Let's think step by step" 2. **Few-Shot CoT**: Examples with reasoning 3. **Self-Consistency**: Multiple reasoning paths 4. **Tree-of-Thought**: Branching reasoning 5. **ReAct**: Reasoning + Action interleaved ### Configuration Options - Reasoning trigger phrases - Step format structure - Verification prompts - Reasoning chain length - Consistency voting threshold ### Best Practices - Clear reasoning step markers - Explicit final answer extraction - Verify reasoning validity - Handle reasoning errors - Monitor reasoning quality ### Dependencies - langchain-core
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